Bump version to 3.0.0rc4 (#9374)

* Bump version to 3.0.0rc4

* update

* update and rebase

* minor fix

* Update docs/en/notes/changelog.md

Co-authored-by: RangiLyu <[email protected]>

* update readme

* update contributors

* update

* 'rebase'

* 'update_data'

* fix lint

Co-authored-by: RangiLyu <[email protected]>

Author: BIGWangYuDong

README.md

@@ -75,11 +75,11 @@ Apart from MMDetection, we also released [MMEngine](https://github.com/open-mmla
 
 ## What's New
 
-**v3.0.0rc3** was released in 4/11/2022:
+**v3.0.0rc4** was released in 25/11/2022:
 
-- Support [CrowdDet](configs/crowddet/) and EIoULoss
-- Support training detection models in Detectron2, see [examples](configs/misc)
-- Refactor [Fast R-CNN](configs/fast_rcnn/)
+- Support [CondInst](https://arxiv.org/abs/2003.05664)
+- Add [`projects/`](./projects/) folder and give an [example](./projects/example_project/README.md) for communities to contribute their projects.
+- Support [SparseInst](https://arxiv.org/abs/2203.12827) in [`projects`](./projects/SparseInst/README.md)
 
 ## Installation
 
@@ -204,6 +204,8 @@ Results and models are available in the [model zoo](docs/en/model_zoo.md).
           <li><a href="configs/scnet">SCNet (AAAI'2021)</a></li>
           <li><a href="configs/queryinst">QueryInst (ICCV'2021)</a></li>
           <li><a href="configs/mask2former">Mask2Former (ArXiv'2021)</a></li>
+          <li><a href="configs/condinst">CondInst (ECCV 2020)</a></li>
+          <li><a href="projects/SparseInst">SparseInst (CVPR 2022)</a></li>
         </ul>
       </td>
       <td>

README_zh-CN.md

@@ -74,11 +74,11 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 ## 最新进展
 
-**v3.0.0rc3** 版本已经在 2022.11.4 发布：
+**v3.0.0rc4** 版本已经在 2022.11.25 发布：
 
-- 支持了 [CrowdDet](configs/crowddet/) 和 EIoULoss
-- 支持训练 Detectron2 中的检测模型并提供了三个[样例](configs/misc)
-- 重构了 [Fast R-CNN](configs/fast_rcnn/)
+- 支持了 [CondInst](https://arxiv.org/abs/2003.05664)
+- 添加了 [`projects/`](./projects/) 文件夹并提供了[示例](./projects/example_project/README.md)，方便社区快速地贡献相关项目
+- 在 [`projects`](./projects/SparseInst/README.md) 中支持了 [SparseInst](https://arxiv.org/abs/2203.12827)
 
 ## 安装
 
@@ -205,6 +205,8 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
           <li><a href="configs/scnet">SCNet (AAAI'2021)</a></li>
           <li><a href="configs/queryinst">QueryInst (ICCV'2021)</a></li>
           <li><a href="configs/mask2former">Mask2Former (ArXiv'2021)</a></li>
+          <li><a href="configs/condinst">CondInst (ECCV 2020)</a></li>
+          <li><a href="projects/SparseInst">SparseInst (CVPR 2022)</a></li>
         </ul>
       </td>
       <td>

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="8"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="2.0.0rc1"
-ARG MMDET="3.0.0rc3"
+ARG MMDET="3.0.0rc4"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/notes/changelog.md

@@ -1,5 +1,52 @@
 # Changelog of v3.x
 
+## v3.0.0rc4 (23/11/2022)
+
+### Highlights
+
+- Support [CondInst](https://arxiv.org/abs/2003.05664)
+- Add `projects/` folder, which will be a place for some experimental models/features.
+- Support [SparseInst](https://arxiv.org/abs/2203.12827) in [`projects`](./projects/SparseInst/README.md)
+
+### New Features
+
+- Support [CondInst](https://arxiv.org/abs/2003.05664) (#9223)
+- Add `projects/` folder, which will be a place for some experimental models/features (#9341)
+- Support [SparseInst](https://arxiv.org/abs/2203.12827) in [`projects`](./projects/SparseInst/README.md) (#9377)
+
+### Bug Fixes
+
+- Fix `pixel_decoder_type` discrimination in MaskFormer Head. (#9176)
+- Fix wrong padding value in cached MixUp (#9259)
+- Rename `utils/typing.py` to `utils/typing_utils.py` to fix `collect_env` error (#9265)
+- Fix resume arg conflict (#9287)
+- Fix the configs of Faster R-CNN with caffe backbone (#9319)
+- Fix torchserve and update related documentation (#9343)
+- Fix bbox refine bug with sigmooid activation (#9538)
+
+### Improvements
+
+- Update the docs of GIoU Loss in README (#8810)
+- Handle dataset wrapper in `inference_detector` (#9144)
+- Update the type of `counts` in COCO’s compressed RLE (#9274)
+- Support saving config file in `print_config` (#9276)
+- Update docs about video inference (#9305)
+- Update guide about model deployment (#9344)
+- Fix doc typos of useful tools (#9177)
+- Allow to resume from specific checkpoint in CLI (#9284)
+- Update FAQ about windows installation issues of pycocotools (#9292)
+
+### New Contributors
+
+- @Daa98 made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9274>
+- @lvhan028 made their first contribution in <https://github.com/open-mmlab/mmdetection/pull/9344>
+
+### Contributors
+
+A total of 12 developers contributed to this release.
+
+Thanks @sanbuphy, @Czm369, @Daa98, @jbwang1997, @BIGWangYuDong, @JosonChan1998, @lvhan028, @RunningLeon, @RangiLyu, @Daa98, @ZwwWayne, @hhaAndroid
+
 ## v3.0.0rc3 (4/11/2022)
 
 Upgrade the minimum version requirement of MMEngine to 0.3.0 to use `ignore_key` of `ConcatDataset` for training VOC datasets (#9058)

docs/en/notes/faq.md

@@ -11,6 +11,7 @@ We list some common troubles faced by many users and their corresponding solutio
   | MMDetection version |      MMCV version       |     MMEngine version     |
   | :-----------------: | :---------------------: | :----------------------: |
   |         3.x         | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc4       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
   |      3.0.0rc3       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
   |      3.0.0rc2       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
   |      3.0.0rc1       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |

docs/zh_cn/notes/faq.md

@@ -10,6 +10,7 @@
 
   |    MMDetection 版本  |        MMCV 版本         |      MMEngine 版本       |
   |         3.x         | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc4       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
   |      3.0.0rc3       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
   |      3.0.0rc2       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
   |      3.0.0rc1       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '3.0.0rc3'
+__version__ = '3.0.0rc4'
 short_version = __version__